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Senior AI Architect - Project 2026

OmniFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to architect the future? OmniFuture Labs is seeking a visionary Senior AI Architect to lead our groundbreaking Project 2026. We are building the infrastructure for tomorrow's autonomous intelligence, and we need a technical leader who thrives on ambiguity and innovation.

In this pivotal role, you will define the architectural roadmap for next-generation machine learning systems. You will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are scalable, secure, and ready for the demands of 2026 and beyond. Join a team that is redefining the boundaries of artificial general intelligence.

Why Join Us?

  • Work on high-impact projects that shape the future of technology.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Lead the architectural design and implementation of large-scale AI and machine learning systems.
  • Define technical roadmaps and best practices for the Project 2026 initiative.
  • Collaborate with cross-functional teams including researchers, data scientists, and product managers.
  • Optimize existing algorithms and infrastructure for performance and cost efficiency.
  • Mentor junior engineers and conduct code reviews to ensure high standards of quality.
  • Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 timeframe (e.g., LLMs, Edge AI).

Qualifications

  • 7+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of delivering complex ML systems from conception to deployment.
  • Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

Python Machine Learning System Design Cloud Computing TensorFlow PyTorch Kubernetes Docker AWS Agile Methodologies

Ready to Take This Challenge?

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